Animal Fat discrimination by FT-Raman spectroscopy

  • Fernández Pierna, J.A. , Abbas, O. , Von Holst, C. , Dardenne, P. , Baeten, V. & Fernández Pierna, J.A. (2007). Animal Fat discrimination by FT-Raman spectroscopy. CRA-W. Proceedings in: FEED SAFETY International Conference 2007: Methods and Challenges, Namur - Belgique, 27-28/11/2007, 80-81.
Type Conference Proceedings
Year of conference 2007
Title Animal Fat discrimination by FT-Raman spectroscopy
Editor CRA-W
Conference name FEED SAFETY International Conference 2007: Methods and Challenges
Conference location Namur - Belgique
Recnumber 1
Pages 80-81
Label U15-1102
conference Date 27-28/11/2007
Endnote Keywords Animal fats|discrimination|FT-Raman|PCA|
Abstract Animal fat is a very important animal by-product used as a feed ingredient. Since the appearance of Bovine Spongiform Encephalopathy (ESB) in the eighties [1], the ingredients of feedstuff are continuously analyzed to evaluate the ESB risk [2]. This one is due to the fact that animal fats contain protein residues. Therefore, the majority of European Union Member States have regulated the use of the animal by-products in the animal feeds. Criteria for the safe use of ruminant fat in animal nutrition in Europe are defined by the Regulation 1774/2002 [3] which requires that the material belongs to category of the animal by-products fit for human consumption and the maximum concentration of residual insoluble impurities after purification does not exceed 0.15%. The objective of our work is to evaluate Fourier Transform - Raman spectroscopy suitability for the differentiation of various animal fat origins. This technique is one of the new generation of analytical techniques, fast and non-destructives. RAMAN spectroscopy is based on the scattering of the light by the molecule. First, we have elaborated a protocol of use of the FT-Raman spectrometer to select the optimal parameters of spectral acquisition. Then, we measured various types of animal fats in both liquid and solid state. Results have shown that liquid samples present most intense signals than the solid ones, why we have chosen the spectra of liquid samples to apply chemometric treatment and examine the ability of Raman spectroscopy to differentiate the studied animal fats. Spectra were first corrected by a Multiplicative Scatter Correction (MSC), followed by a base line correction then normalized. Some samples (poultry, tallow and lard) were treated by Principal component analysis (PCA) which made it possible to visualize the differences between these fats. Then we projected fish, lamb, and mixtures of different fats on the obtained PCA space. A regrouping of lamb samples and some mixtures with the calibration groups was observed while a spacing of the fish oil and three other mixtures was marked. Examination of the loadings associated to the two first principal components informs on the general composition of test samples and show clearly that is possible to differentiate animal fats with Raman spectroscopy.
Author address Fernandez Pierna Juan Antonio, Quality Department of Agro-food Products, Walloon Agricultural Research Centre (CRA-W), Chaussée de Namur, 24, B-5030 Gembloux,
Caption U15-1102-abbas-2007.pdf
Authors Fernández Pierna, J.A., Abbas, O., Von Holst, C., Dardenne, P., Baeten, V., Fernández Pierna, J.A.